---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-lv-60-espeak-cv-ft
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-lv-60-espeak-cv-ft-custom_vocab-OtherDiacritics-ds-f4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# wav2vec2-lv-60-espeak-cv-ft-custom_vocab-OtherDiacritics-ds-f4

This model is a fine-tuned version of [facebook/wav2vec2-lv-60-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-lv-60-espeak-cv-ft) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2274
- Per: 0.2720

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Per    |
|:-------------:|:-------:|:-----:|:---------------:|:------:|
| 17.5919       | 0.7194  | 400   | 4.5477          | 0.9998 |
| 4.4013        | 1.4388  | 800   | 4.0848          | 0.9998 |
| 4.0797        | 2.1583  | 1200  | 3.6617          | 0.9998 |
| 3.2434        | 2.8777  | 1600  | 1.5953          | 0.4748 |
| 2.0985        | 3.5971  | 2000  | 0.9012          | 0.3548 |
| 1.6061        | 4.3165  | 2400  | 0.6137          | 0.3131 |
| 1.3735        | 5.0360  | 2800  | 0.4757          | 0.2970 |
| 1.2007        | 5.7554  | 3200  | 0.4016          | 0.2898 |
| 1.1208        | 6.4748  | 3600  | 0.3516          | 0.2822 |
| 1.0346        | 7.1942  | 4000  | 0.3281          | 0.2825 |
| 0.9946        | 7.9137  | 4400  | 0.3055          | 0.2807 |
| 0.9412        | 8.6331  | 4800  | 0.2925          | 0.2794 |
| 0.9012        | 9.3525  | 5200  | 0.2809          | 0.2776 |
| 0.8657        | 10.0719 | 5600  | 0.2775          | 0.2776 |
| 0.859         | 10.7914 | 6000  | 0.2680          | 0.2762 |
| 0.847         | 11.5108 | 6400  | 0.2662          | 0.2751 |
| 0.8133        | 12.2302 | 6800  | 0.2616          | 0.2753 |
| 0.78          | 12.9496 | 7200  | 0.2563          | 0.2744 |
| 0.7681        | 13.6691 | 7600  | 0.2550          | 0.2751 |
| 0.7648        | 14.3885 | 8000  | 0.2500          | 0.2743 |
| 0.7517        | 15.1079 | 8400  | 0.2485          | 0.2748 |
| 0.7606        | 15.8273 | 8800  | 0.2408          | 0.2731 |
| 0.7295        | 16.5468 | 9200  | 0.2407          | 0.2732 |
| 0.7193        | 17.2662 | 9600  | 0.2420          | 0.2718 |
| 0.7135        | 17.9856 | 10000 | 0.2376          | 0.2719 |
| 0.6955        | 18.7050 | 10400 | 0.2365          | 0.2726 |
| 0.6812        | 19.4245 | 10800 | 0.2368          | 0.2726 |
| 0.6962        | 20.1439 | 11200 | 0.2346          | 0.2727 |
| 0.6812        | 20.8633 | 11600 | 0.2360          | 0.2740 |
| 0.6825        | 21.5827 | 12000 | 0.2312          | 0.2729 |
| 0.6835        | 22.3022 | 12400 | 0.2307          | 0.2732 |
| 0.6704        | 23.0216 | 12800 | 0.2282          | 0.2732 |
| 0.6588        | 23.7410 | 13200 | 0.2299          | 0.2732 |
| 0.6738        | 24.4604 | 13600 | 0.2264          | 0.2719 |
| 0.6596        | 25.1799 | 14000 | 0.2259          | 0.2720 |
| 0.6559        | 25.8993 | 14400 | 0.2293          | 0.2719 |
| 0.6248        | 26.6187 | 14800 | 0.2266          | 0.2716 |
| 0.649         | 27.3381 | 15200 | 0.2283          | 0.2724 |
| 0.6443        | 28.0576 | 15600 | 0.2260          | 0.2725 |
| 0.6373        | 28.7770 | 16000 | 0.2273          | 0.2729 |
| 0.6233        | 29.4964 | 16400 | 0.2274          | 0.2720 |


### Framework versions

- Transformers 4.57.6
- Pytorch 2.9.1+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2